Implementation of non-equal partitioned multi-channel convolver

Convolution has become a largely exploited signal operation due to its several applications in digital signal processing. In the realm of audio elaboration, convolution has been used to impose a spectral and/or a temporal structure onto a signal. This is possible by convolving the sound signal with the Room Impulse Response (RIR). The acoustic footprint of these sound signals can be completely transferred to another sound signal. With a multichannel approach, convolution assumes even wider application fields. One of the outcomes can be considered the Ambisonics recording made by a multichannel convolver. A similar concept can be applied to the mixing phase of audio post-production, where direction-based audio objects are converted to Ambisonics to be reproduced in similar speaker setups. This paper deals with the analysis of an existing algorithm related to a multichannel convolver software and evaluates its efficiency to optimize the results for non-expert users. The results show that the management of the filter matrix outlines weaknesses in the process of assembling new matrices. A proposed solution regards the optimization of such algorithm.